A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks.
Cengiz PehlevanDmitri B. ChklovskiiPublished in: CoRR (2015)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- high dimensional data
- high dimensional
- theoretical basis
- genetic algorithm
- random projections
- theoretical framework
- principal component analysis
- pattern recognition and machine learning
- fuzzy systems
- manifold learning
- data sets
- low dimensional
- fuzzy logic
- artificial neural networks
- multi agent systems
- feature space
- feature extraction
- nearest neighbor
- item response theory
- decision trees
- multi layer
- recurrent neural networks
- feature selection
- multilayer perceptron
- principal components
- feed forward
- neural network model
- fault diagnosis
- back propagation